Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
Hello!
I plan to deploy cellxgene to the server, but I don't know the required server situation.
For example, when I plan to deploy 5 data sets of 100k cells, what is the server situation I need, such as running memory?
Normally the memory usage is the same as the h5ad file, if you host a dataset at a port. So total memory of your 5 datasets is similar to the total of five h5ad files on disk.
Hello! I plan to deploy cellxgene to the server, but I don't know the required server situation. For example, when I plan to deploy 5 data sets of 100k cells, what is the server situation I need, such as running memory?
Thanks!